scholarly journals A Decision Support System for the Resilience of Critical Transport Infrastructure to Extreme Weather Events

2016 ◽  
Vol 14 ◽  
pp. 68-77 ◽  
Author(s):  
Jan Kiel ◽  
Peter Petiet ◽  
Albert Nieuwenhuis ◽  
Ton Peters ◽  
Kees van Ruiten
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Extreme Weather ◽  
Transport Infrastructure ◽  
Extreme Weather Events ◽  
Weather Events

scholarly journals Assessing the impacts of extreme weather events on potable water quality: the value to managers of a highly participatory, integrated modelling approach

2018 ◽  
Vol 2 (1) ◽  
pp. 9-24
Author(s):  
Edoardo Bertone ◽  
Oz Sahin ◽  
Russell Richards ◽  
Anne Roiko
Keyword(s):  
Water Quality ◽  
Decision Support ◽  
Extreme Events ◽  
Drinking Water Treatment ◽  
Extreme Weather ◽  
Integrated Modelling ◽  
Extreme Weather Events ◽  
Weather Events ◽  
Sd Model

Abstract A decision support tool was created to estimate the treatment efficiency of an Australian drinking water treatment system based on different combinations of extreme weather events and long-term changes. To deal with uncertainties, missing data, and nonlinear behaviours, a Bayesian network (BN) was coupled with a system dynamics (SD) model. The preliminary conceptual structures of these models were developed through stakeholders' consultation. The BN model could rank extreme events, and combinations of them, based on the severity of their impact on health-related water quality. The SD model, in turn, was used to run a long-term estimation of extreme events' impacts by including temporal factors such as increased water demand and customer feedback. The integration of the two models was performed through a combined Monte Carlo–fuzzy logic approach which allowed to take the BN's outputs as inputs for the SD model. The final product is a participatory, multidisciplinary decision support system allowing for robust, sustainable long-term water resources management under uncertain conditions for a specific location.

scholarly journals Impacts of extreme weather events on transport infrastructure in Norway

2017 ◽  
Author(s):  
Regula Frauenfelder ◽  
Anders Solheim ◽  
Ketil Isaksen ◽  
Bård Romstad ◽  
Anita V. Dyrrdal ◽  
...  
Keyword(s):  
Debris Flows ◽  
Climate Models ◽  
Heavy Precipitation ◽  
Extreme Weather ◽  
Transport Infrastructure ◽  
Extreme Weather Events ◽  
Local Climate ◽  
Weather Events ◽  
Interdisciplinary Research Project ◽  
Heavy Rainfall Events

Abstract. This paper presents selected results of the interdisciplinary research project Impacts of extreme weather events on infrastructure in Norway (InfraRisk) carried out between 2010 to 2013, as part of the program NORKLIMA (2004 2013) of the Research Council of Norway (RCN). The project has systematized large amounts of existing data and generated new results that are important for our handling of risks associated with future extreme weather and natural hazards threatening the transport infrastructure in Norway. The results of the InfaRisk project range widely, from the establishment of trends in key weather elements to studies of human response to threats from extreme weather. The analyses of weather elements have provided a clearer understanding of the trends in the development of extreme weather. The studies are based on both historical data and available future scenarios (projections) from climate models. Compared to previous studies, we calculated changes in climate variables that are particularly important in relation to nature hazards. Overall, the analyses document an increase in frequency as well as intensity of both precipitation and wind. Results of projections show that the observed changes will continue throughout this century. We could also identify large regional differences, with some areas experiencing, e.g., a reduction in the intensity of heavy rainfall events. However, most of the country will experience the opposite, i.e., both increased intensity and increased frequency of heavy precipitation. Our analyses show that at least 27 per cent of Norwegian roads and 31 per cent of railroads are exposed to rock fall and snow avalanches hazards. The project has also assessed relationships between different parameters that can affect the likelihood of debris flows. Variables such as terrain slope and size of watercourses are important, while local climate, which varies widely in Norway, determines threshold values for rainfall that can trigger debris flows.

scholarly journals Modeling of maintenance systems for railway infrastructure facilities based on the theory of mass service

2018 ◽  
Vol 77 (3) ◽  
pp. 165-171
Author(s):  
A. N. Shabel’Nikov ◽  
Yu. V. Shapovalova
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Transport Infrastructure ◽  
Queuing Networks ◽  
Queuing Systems ◽  
Thermal Anomalies ◽  
Railway Infrastructure ◽  
Transportation Process ◽  
Maintenance Systems

The article is substantiated the necessity of intro-and dynamics of change are proposed to be implemented within ducing the mechanism of predictable maintenance of railway trans-the framework of a specially created decision support system. It port infrastructure into the practice of the transportation process. was also proposed to use the mathematical apparatus of queuing The functions of object monitoring, diagnostics of their condition theory to implement the tasks of analyzing and synthesizing the structure and functions of the system for organizing maintenance of transport infrastructure facilities. Within the framework of this tool, a mathematical model for the synthesis of maintenance systems for railway infrastructure facilities was constructed and analyzed, and a network of queuing systems describing monitoring, diagnostics and maintenance of these facilities was considered. The analysis technique of the infrastructure objects includes the procedure for structuring the railway transport object in the form of a combination of queuing systems and queuing networks, analysis of their parameters, analysis and optimization of information flows in queuing networks. The features of the application of the developed model for the solution of three practical problems are analyzed: technical and commercial inspection of trains at the sorting station reception, identification and correction of wheelset defects on thermal anomalies, development of a system for diagnosing the negative dynamics of freight cars. A model is described that allows calculating the main parameters (service intensity, service time and location in network) for a network that includes the source of applications (the transportation process), the diagnostic subsystems (as part of the decision support system - DSS) and the maintenance depoes.

scholarly journals DECISION SUPPORT SYSTEM ON THE FORMATION AND IMPLEMENTATION OF THE STRATEGY OF TRANSPORT INFRASTRUCTURE INNOVATIVE DEVELOPMENT

2021 ◽  
pp. 5
Author(s):  
O. DMYTRIIEVA ◽  
Ya. LEVCHENKO
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Public Administration ◽  
Support System ◽  
Public Management ◽  
Support Systems ◽  
Transport Infrastructure ◽  
Innovative Development ◽  
Implementation Of The Strategy

The strategic level of public management of transport infrastructure innovative development is characterized by a high degree of uncertainty in the assessment of the environment, weak formalization of management methods and widespread use of expert assessments and knowledge, multicriteriality in assessing decisions. In order to improve the quality of strategic processes, it is necessary to use decision support systems. Based on the analysis of research, it is determined that decision support systems can overcome the difficulties associated with multicriteria, limited resources and incomplete information. The study identifies three levels of decision support systems, depending on the specifics of the tasks and the technology used. The authors determined the composition of the decision support system, which includes: file accumulation systems; data analysis systems; accounting systems; representative (image) systems; optimization systems; recommendation systems. Based on the existing approaches to the construction of decision support systems and certain procedures of strategic public administration, the article develops a decision support system for the formation and implementation of a strategy for innovative development of transport infrastructure. The authors proposed a system of decision support for the formation and implementation of a strategy for innovative development of transport infrastructure, which includes the consistent implementation of blocks. The study identifies elements of such a system, which include a set of task blocks (goal setting, project proposals, strategic alternatives, motivation, communication, controlling) and tool modules (data, expert evaluation, analytics, modeling). The use of the developed decision support system for the formation and implementation of the strategy of transport infrastructure innovative development allows to increase the quality and validity of strategic decisions and, accordingly, to ensure the possibility of effective implementation of strategic public administration.

scholarly journals Societal Vulnerability to Impacts of Extreme Weather Events on Land Transport Infrastructure Societal Vulnerability to Impacts 

2018 ◽  
Vol 20 (2) ◽  
pp. 62-67
Author(s):  
Maria Luskova ◽  
Michal Titko ◽  
Alan O'Connor
Keyword(s):  
Vulnerability Index ◽  
Extreme Weather ◽  
Transport Infrastructure ◽  
Extreme Weather Events ◽  
Multilevel Approach ◽  
Weather Events ◽  
Vulnerability Indicators ◽  
Definition Of ◽  
Selection Of

The paper is focused on understanding how failure of land transport infrastructure leads to societal vulnerability. It presents the multilevel approach to societal vulnerability measuring. The level of the societal vulnerability is expressed through the Vulnerability Index, which is calculated based on the vulnerability indicators. Identification and selection of those indicators are based on definition of vulnerability as a function of exposure, susceptibility to change and capacity to adapt to that change.

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